Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19CA38A33411875274437C6D530A56B3BE2E68A4FFAA70A014EECD7FA1BFAC60745B11A |
|
CONTENT
ssdeep
|
1536:uxY6Lz4NP/y9svbliCdY0c4ctXJFtWAuCa2WX2ZP4:IYEmAV0c4ctX/4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343bd3ab838c53a |
|
VISUAL
aHash
|
00202000000000ff |
|
VISUAL
dHash
|
48c8c0c0c8c4d328 |
|
VISUAL
wHash
|
007060707c70ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
0000000118588090,49c8c8c0c8c8c4d2 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 54 techniques to evade detection by security scanners and make reverse engineering more difficult.